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The Engineous Software STTR Team, including team members from Northrop Grumman, Naval Undersea Warfare Center (NUWC), Massachusetts Institute of Technology (MIT), and Elon University; proposed at the outset of the project that it could develop an integrated Multi-disciplinary Optimization (MDO) system of naval ship design and mission effectiveness. Specifically, the team intended to use a ship model of interest to the Navy in an effort to demonstrate that disparate ship analysis tools could be integrated under a single framework and automated. This integrated, automated system would allow its users to measure ship performance and effectiveness, as well as accounting for uncertainty in those measurements, through design exploration techniques, such as optimization, design of experiments (DOE), and quality engineering analysis (e.g. Monte Carlo analysis). The primary struggle on the project was acquiring analysis models to use in the MDO system. The time required to obtain the models, unfortunately, limited the amount of analysis the team was able to perform. However, once the models were obtained, the team was able to quickly integrate them and show the power and flexibility of the MDO system. The results showed that the system was able to quickly apply numerous exploration techniques, including the Multi-Objective Genetic Algorithm specifically developed for the STTR, to the integrated models. Hundreds of ship designs were evaluated in the pursuit of an optimum design; while taking into account uncertainty. A measured improvement of 6% in lifecycle cost was calculated for an optimization analysis. It was also found that while introducing uncertainty in the analysis that the lifecycle cost was perturbed by only a maximum variation of 1%.
The general aim of Naval Design (ND) is to make a ship able to perform some prescribed mission. There is a combination of restrictions related to physical interaction of the warship and sea with others that have a military background. As a result, the ND combines numerous tasks and requires tremendous computations, but optimization of computations is a challenge because ND is a multi-criterion problem. This project delivers the complete succession of mathematical fundamentals of ND. Instead of traditional design spiral, a hierarchy multi-level design system is considered. The concept of criterion coordination with Lagrange multipliers is described. The feasible design solutions are studied with the Pareto sets. Comparison of Pruning and Constructive algorithms in grid generation is given, as well as description of LP-tay sequencing in this generation. The developed approaches are illustrated by examples of multidisciplinary ND recently considered in scientific publications. Additionally, a background of multidisciplinary trimaran optimization is developed.
The previous edition of Ship Design for Efficiency and Economy was published as a Butterworth's marine engineering title. It has now been completely revised and updated by Schneekluth and Bertram.This book gives advice to students and naval architects on how to design ships - in particular with regard to hull design. The previous edition of this book was published in 1987. Since then, there have been numerous important developments in this area and the new additions to this book reflect these changes. Chapter 3 has been completely rewritten with added information on methodology of optimization, optimization shells and concept exploration methods. There is also a new sub-chapter on Computational Fluid Dynamics (CFD) for ship-hull design. Plus, a new method to predict ship resistance based on the evaluation of modern ship hull design will be detailed.The emphasis of the this book is on design for operational economy. The material is directly usable not only in practice, in the design office and by shipowners, but also by students at both undergraduate and postgraduate levels.
This book investigates Reliability-based Multidisciplinary Design Optimization (RBMDO) theory and its application in the design of deep manned submersibles (DMSs). Multidisciplinary Design Optimization (MDO) is an effective design method for large engineering systems like aircraft, warships, and satellites, which require designers and engineers from various disciplines to cooperate with each other. MDO can be used to handle the conflicts that arise between these disciplines, and focuses on the optimal design of the system as a whole. However, it can also push designs to the brink of failure. In order to keep the system balanced, Reliability-based Design (RBD) must be incorporated into MDO. Consequently, new algorithms and methods have to be developed for RBMDO theory. This book provides an essential overview of MDO, RBD, and RBMDO and subsequently introduces key algorithms and methods by means of case analyses. In closing, it introduces readers to the design of DMSs and applies RBMDO methods to the design of the manned hull and the general concept design. The book is intended for all students and researchers who are interested in system design theory, and for engineers working on large, complex engineering systems.
This book introduces a holistic approach to ship design and its optimisation for life-cycle operation. It deals with the scientific background of the adopted approach and the associated synthesis model, which follows modern computer aided engineering (CAE) procedures. It integrates techno-economic databases, calculation and multi-objective optimisation modules and s/w tools with a well-established Computer-Aided Design (CAD) platform, along with a Virtual Vessel Framework (VVF), which will allow virtual testing before the building phase of a new vessel. The resulting graphic user interface (GUI) and information exchange systems enable the exploration of the huge design space to a much larger extent and in less time than is currently possible, thus leading to new insights and promising new design alternatives. The book not only covers the various stages of the design of the main ship system, but also addresses relevant major onboard systems/components in terms of life-cycle performance to offer readers a better understanding of suitable outfitting details, which is a key aspect when it comes the outfitting-intensive products of international shipyards. The book disseminates results of the EU funded Horizon 2020 project HOLISHIP.
As technology presses forward, scientific projects are becoming increasingly complex. The international space station, for example, includes over 100 major components, carried aloft during 88 spaces flights which were organized by over 16 nations. The need for improved system integration between the elements of an overall larger technological system has sparked further development of systems of systems (SoS) as a solution for achieving interoperability and superior coordination between heterogeneous systems. Systems of Systems Engineering: Principles and Applications provides engineers with a definitive reference on this newly emerging technology, which is being embraced by such engineering giants as Boeing, Lockheed Martin, and Raytheon. The book covers the complete range of fundamental SoS topics, including modeling, simulation, architecture, control, communication, optimization, and applications. Containing the contributions of pioneers at the forefront of SoS development, the book also offers insight into applications in national security, transportation, energy, and defense as well as healthcare, the service industry, and information technology. System of systems (SoS) is still a relatively new concept, and in time numerous problems and open-ended issues must be addressed to realize its great potential. THis book offers a first look at this rapidly developing technology so that engineers are better equipped to face such challenges.
Ship optimization design is critical to the preliminary design of a ship. With the rapid development of computer technology, the simulation-based design (SBD) technique has been introduced into the field of ship design. Typical SBD consists of three parts: geometric reconstruction; CFD numerical simulation; and optimization. In the context of ship design, these are used to alter the shape of the ship, evaluate the objective function and to assess the hull form space respectively. As such, the SBD technique opens up new opportunities and paves the way for a new method for optimal ship design. This book discusses the problem of optimizing ship’s hulls, highlighting the key technologies of ship optimization design and presenting a series of hull-form optimization platforms. It includes several improved approaches and novel ideas with significant potential in this field